دورية أكاديمية
Digital twin of a city: Review of technology serving city needs
| العنوان: | Digital twin of a city: Review of technology serving city needs |
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| المؤلفون: | Ville V. Lehtola, Mila Koeva, Sander Oude Elberink, Paulo Raposo, Juho-Pekka Virtanen, Faridaddin Vahdatikhaki, Simone Borsci |
| المصدر: | International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 102915- (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Physical geography LCC:Environmental sciences |
| مصطلحات موضوعية: | Digital twins, City, Artificial intelligence, Human factors, Sensor systems, Point clouds, Physical geography, GB3-5030, Environmental sciences, GE1-350 |
| الوصف: | Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance. Adapting DTs to serve cities, the question arises of what an urban digital twin should contain and how it should be orchestrated to serve a city’s dynamical ecosystem, along with how to enhance the efficiency of the city. We are aligning with the commonplace idea that the main advantage of using DTs is economical as, for example, DTs can improve the planning of activities thus saving money and time. But how can they be useful for a city? Instead of looking at the DTs as solutions in search of problems to be solved, we start from city needs. Our approach is two-fold. We start by briefly reviewing existing possibilities for meeting some specific needs, but keep the focus on identifying and attempting to close the gap between the needs arising from everyday city functions and the latest DT techniques useful for meeting those needs. DTs are technically different and serve different applications, yet they share a common identity and name, as well as several technical similarities. Adopting computer science terminology, we see a back-end city DT as the container of all information, while any single front-end, visualized or used either by humans or robots, offers a limited but meaningful representation of the DT for a specific application. Alas, there are multiple open questions regarding the realization and benefits of such back-end DT. Nevertheless, we discuss how the back-end DT (or any specific DT) could be updated autonomously from sensor data using artificial intelligence techniques, and how the front-ends could be used for large benefits to the entire city ecosystem. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1569-8432 |
| العلاقة: | http://www.sciencedirect.com/science/article/pii/S1569843222001169Test; https://doaj.org/toc/1569-8432Test |
| DOI: | 10.1016/j.jag.2022.102915 |
| الوصول الحر: | https://doaj.org/article/206dd962450e4bfb943ac302dfb1d490Test |
| رقم الانضمام: | edsdoj.206dd962450e4bfb943ac302dfb1d490 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15698432 |
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| DOI: | 10.1016/j.jag.2022.102915 |